Browsing Computational and Communication Science Engineering by Author "Michael, Kisangiri"
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Electrical & Electronic Engineering | Research Article Performance Of Soft Viterbi Decoder Enhanced With Non-Transmittable Codewords For Storage Media
Hassan, Kilavo; Michael, Kisangiri; Mrutu, Salehe (Cogent Engineering, 2018-01-12)The introduction of Non-Transmittable Codewords (NTCs) into Viterbi Algorithm Decoder has emerged as one of the best ways of improving performance of the Viterbi Algorithm Decoder. However, the performance has been tested ... -
Forward Error Correction for Storage Media: An Overview
Hassan, Kilavo; Michael, Kisangiri; Mrutu, Salehe I. (International Journal of Computer Science and Information Security (IJCSIS), 2015-12)As the adoption of Information and Communication Technology (ICT) tools in production and service rendering sectors increases, the demand for digital data storage with large storage capacity also increases. Higher storage ... -
Gain improvement of the Yagi-Uda Antenna Using Genetic Algorithm for Application in DVB-T2 Television Signal Reception in Tanzania
Kazema, Twahir; Michael, Kisangiri (Journal of Interdisciplinary Sciences, 2017-11-02)A Yagi-Uda Antenna, commonly known simply as a Yagi antenna or Yagi, is a directional antenna system consisting of an array of dipole and additional closely coupled parasitic elements (usually a reflector and one or more ... -
Genetic Algorithm Optimization for Broadband Patch Antenna Design
Michael, Kisangiri; Kucharski, Andrzej A. (IEEE, 2007-10-15)A genetic algorithm (GA) optimization design of patch antenna has been performed using surface integral equation (SIE), method-of-moments (MoM) solution. The electromagnetic engine procedure is based on the Matlab code by ... -
Genetic algorithm optimization for multiband patch antenna design
Michael, Kisangiri; Kucharski, Andrzej A. (IEEE, 2008-08-01)A combined method of moment (MoM)/genetic algorithm (GA) numerical procedure for achieving mulitband-frequency characteristics in patch antenna design is demonstrated in this paper. Method of moment (MoM) solution used in ... -
A Grey Level Fitting Mechanism based on Gompertz Function for Two Phase Flow Imaging using Electrical Capacitance Tomography Measurement Systems
Nombo, Josiah; Mwambela, Alfred; Michael, Kisangiri (International Journal of Computer Applications, 2014-09)Electrical Capacitance Tomography (ECT) is an image generating system based on soft field sensory system. The preferred Linear Back Projection (LPB) reconstruction algorithm for multi-phase measurement has blurring effect ... -
Hybrid diffusion-steered model for suppressing multiplicative noise in ultrasonograms
Kessy, Suzan; Maiseli, Baraka; Michael, Kisangiri (An International Journal (SIPIJ), 2017-08)Ultrasonograms refer to images generated through ultrasonography, a technique that applies ultrasound pulses to delineate internal structures of the body. Despite being useful in medicine, ultrasonograms usually suffer ... -
An Integrated Cloud-Based Wireless Sensor Network for Monitoring Industrial Wastewater Discharged into Water Sources
Zakaria, Yona; Michael, Kisangiri (Scientific Research Publishing Inc, 2017-08-21)This paper presents a prototype of an Integrated Cloud-Based Wireless Sensor Network (WSN) developed to monitor pH, conductivity and dissolved oxygen parameters from wastewater discharged into water sources. To provide ... -
An intelligent real-time wireless sensor network tracking system for monitoring rhinos and elephants in Tanzania national parks: A review
Massawe, Erick; Michael, Kisangiri; Kaijage, Shubi; Seshaiyer, Padmanabhan (International Journal of Advanced Smart Sensor Network Systems, 2017-10-04)The advancement of wireless sensor networks yields a variety of wireless sensor network for wildlife tracking. One typical application for wireless sensor networks is in animal tracking and monitoring in wildlife ... -
Investigation and analysis of the effects of geometry orientation of array antenna on directivity for wire-less communication
Kazema, Twahir; Michael, Kisangiri (Cogent Engineering, 2016-09-08)Array antennas offer a wide range of opportunities in the variation of their directivity patterns through amplitude and phase control. Directivity is one of very important parameters when optimizing Antenna. This paper ... -
Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.
Leo, Judith; Luhanga, Edith; Michael, Kisangiri (Hindawi, 2019-07-25)Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary conditions. Various studies have observed that the occurrence of cholera ... -
Optimization Design of Patch Antenna by Introduction of Capacitive Patch
Michael, Kisangiri (IEEE, 2018)An efficient method for integrating genetic algorithm (GA) with method of moments for capacitive patch antenna design has been presented. The movement of capacitive patch within the antenna model and its length are controlled ... -
Optimization of Hata Model based on Measurements Data using Least Square Method: A Case Study in Dar-es-Salaam – Tanzania
Mollel, Michael; Michael, Kisangiri (International Journal of Computer Applications, 2014-09)ABSTRACT In this study, we present a measurement-based model for path loss prediction in three GSM service areas at 900 MHz .Modified Hata model for rural, suburban, and urban environments were derived in this study on ... -
Optimization of Multiple-Short PIFA for Broadband Communication
Michael, Kisangiri; Kucharski, Andrzej A. (IEEE, 2007-12-26)As wireless systems gain wider acceptance and enjoy increased application, performance and cost constraints on the wireless system antennas become more difficult to meet. In this context, antennas that are small in size, ... -
An Overview of Various Propagation Model for Mobile Communication
Mollel, Michael; Michael, Kisangiri (Pan African International Conference on Information Science, Computing and Telecommunications, 2014)System’s propagation characteristics through a medium is one of the important task to be done before planning and optimization of any network in order to estimate the signal parameter accurately for mobile system. Propagation ... -
Performance Analysis of Grey Level Fitting Mechanism based Gompertz Function for Image Reconstruction Algorithms in Electrical Capacitance Tomography Measurement System
Nombo, Josiah; Mwambela, Alfred; Michael, Kisangiri (International Journal of Computer Applications, 2015-01)This paper analyses the performance of grey level fitting mechanism based on Gompertz function used in Electrical Capacitance Tomography measurement system. In order to evaluate its performance, the data fitting mechanism ... -
Performance of Soft Viterbi Decoder enhanced with Non-Transmittable Codewords for storage media
Hassan, Kilavo; Michael, Kisangiri; Mrutu, Salehe I. (Cogent Engineering, 2018-01-12)The introduction of Non-Transmittable Codewords (NTCs) into Viterbi Algorithm Decoder has emerged as one of the best ways of improving performance of the Viterbi Algorithm Decoder. However, the performance has been tested ... -
Perona–Malik model with self-adjusting shape-defining constant
Maiselia, Baraka; Msuya, Hubert; Kessy, Suzan; Michael, Kisangiri (Elsevier, 2018-09)For decades, the Perona–Malik (PM) diffusion model has been receiving a considerable attention of scholars for its ability to restore detailed scenes. The model, despite its promising results, demands manual tuning of the ... -
Radiation Safety of handheld mobile phones
Michael, Kisangiri (IEEE, 2014-07)The study of electromagnetic radiation from mobile phone antenna towards human head is presented in this paper. The simulation of radiation emission of Dual band PIFA for GSM and Quadrifillar Helix Antenna for satellite ... -
Research Based Solution for Linking Higher Learning Institutions Students to Relevant Companies for Field Attachment
Samwi, Erick R.; Michael, Kisangiri; Moebs, Sabine (Modern Education and Computer Science Press, 2019-10-08)Work-based learning is what equips students with practical skills. All higher learning institutions (HLIs) have a specified period of time for students to carry out field based practices in companies which are relevant ...